Update app.py

app.py

@@ -1,32 +1,3 @@
-from transformers import AutoTokenizer, AutoModelForCausalLM, Trainer, TrainingArguments
-from datasets import Dataset
-from groq import Groq
-import os
-
-# Initialize Groq client with your API key
-client = Groq(api_key="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")
-
-# Paths to your books
-book_paths = {
-    "DSM": "/content/Diagnostic and statistical manual of mental disorders _ DSM-5 ( PDFDrive.com ).pdf",
-    "Personality": "/content/b6c3v8_Theories_of_Personality_10.pdf",
-    "SearchForMeaning": "/content/Mans-Search-For-Meaning.pdf"
-}
-
-# Function to load and preprocess the data from books
-def load_data(paths):
-    data = []
-    for title, path in paths.items():
-        with open(path, "r", encoding="utf-8", errors='ignore') as file:
-            text = file.read()
-            paragraphs = text.split("\n\n")  # Split by paragraphs (adjust as needed)
-            for paragraph in paragraphs:
-                if paragraph.strip():  # Skip empty paragraphs
-                    data.append({"text": paragraph.strip()})
-    return Dataset.from_list(data)
-
-# Load and preprocess dataset for fine-tuning
-dataset = load_data(book_paths)
 
 from transformers import AutoTokenizer, AutoModelForCausalLM, Trainer, TrainingArguments
 from datasets import Dataset